Abstract
Temporal aggregation is defined as the use of spot valuations of properties occuring over an interval of time to impute the spot value of a property or of a real estate value index as of a single point in time. Temporal aggregation may characterize not only appraisal‐based indices but also indices based directly on transaction prices, such as the National Real Estate Index (NREI) and regression‐based indices such as hedonic or repeat‐sales indices. This paper analyzes the effect of temporal aggregation on the smoothing of the time series second moments in the resulting real estate return index. Assuming true spot returns are uncorrelated, temporal aggregation‐induced smoothing will cause the empirically observed real estate index to understate the own‐variance by one‐third and the beta by one‐half. This amount of bias in the second moments can have major implications for the real estate share in an optimal portfolio. Thus, empirical‐based investment analysis could be led astray by smoothing even if the real estate return index is “transaction‐based” rather than “appraisal‐based.”
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